Browsing by Author "Sheikh, Javed"

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    E-logistic system
    (AIKTC, 2018-05) Sheikh, Javed; Gigani, Heena (14DCO57); Kadariya, Usman Gani (12CO33); Shaikh, Imran M (12CO31); Kazi, Mohid (12CO45)
    Abstract—In most of the cities, the transportation industry is highly regulated and utilizes the traditional techniques. However, people faces many problems such as searching for the vehicle as per their requirement which results wastage of time as well as it is hectic. The purpose of our project is to build E-Logistics, an online system for the customers where they can search for the appropriate vehicle and book them for their goods transportation with live updates. The system will estimate the cost via algorithm, the required amount of time between the source and destination is calculated using Djktras/ Travelling Sales Problem Algorithm, optimal route is selected and tracking of goods carrying vehicle is done through Google Map’s API. So through our system, customer can easily search for the vehicle within his/her nearby source location as per the requirement and can get live updates that assures for delivery of goods.
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    E-logistic system
    (AIKTC, 2018-03) Sheikh, Javed; Gigani, Heena (14DCO57); Kadariya, Usman Gani (12CO33); Shaikh, Imran M.(12CO31); Kazi, Mohid (12CO45)
    Abstract—In most of the cities, the transportation industry is highly regulated and utilizes the traditional techniques. However, people faces many problems such as searching for the vehicle as per their requirement which results wastage of time as well as it is hectic. The purpose of our project is to build E-Logistics, an online system for the customers where they can search for the appropriate vehicle and book them for their goods transportation with live updates. The system will estimate the cost via algorithm, the required amount of time between the source and destination is calculated using Djktras/ Travelling Sales Problem Algorithm, optimal route is selected and tracking of goods carrying vehicle is done through Google Map’s API. So through our system, customer can easily search for the vehicle within his/her nearby source location as per the requirement and can get live updates that assures for delivery of goods.
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    Nex-Gen-Hospice
    (AIKTC, 2020-05) Sheikh, Javed; Sayyed, Wasim Hamid (16CO48); Shaikh, Manzar Jamal (16CO50); Shaikh, Faizan Husein (16CO49)
    Hospice (Hospital Management System): A web app where Hospital staff can login and manage whole Hospital. In this Hospital management system we are going to fit an Machine Learning Model which will output as Expected date of patient discharge, discharge probability,Expected Medical Bill, Expected Laboratory Bill and Total Bill based on their data. This will help Hospital to regulate their bed schedulling and generate revenue for Hospital. The aim of the proposed system is to predict the Discharge date of the patient and their billing information.This project is focused mainly on predicting Discharge date and billing info of patient based on their diseases. It will be implemented using Machine Learning techniques to predict the discharge date and billing info.An approach model to predict the Disease area by using Classification algorithm.The algorithm takes an input as previous disease,bllod group etc.we use RandomForestClassifier Algorithm. Keywords: Django,html,css,bootstrap,js,python,machine Learning,Hospice database,dummy dataset,svm algorithm,Random Forest algorithm.
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    Priority based cab search engine
    (AIKTC, 2018-05) Sheikh, Javed; Morbiwala, Quid Z. (14CO40); Shaikh, Shanawaz (14CO49); Pipewala, Taha (14CO38)
    In last two years, the rapid development of Internet based ride-sharing has brought great changes to travel pattern of residents. By comparing the trip records of OLA and UBER there is a big market in this industry of internet ride sharing.The technologies that are used for the implementation are firebase database,REST API and Android Studio.The security login authentication to the system is firebase Google authentication This paper shows the implementation of comparison of the price, distance and time by car selection of OLA and UBER .
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    Priority based cab search engine
    (AIKTC, 2018-05) Sheikh, Javed; Morbiwala, Quid Z (14CO40); Shaikh, Shanawaz (14CO49); Pipewala, Taha(14CO38)
    In last two years, the rapid development of Internet based ride-sharing has brought great changes to travel pattern of residents. By comparing the trip records of OLA and UBER there is a big market in this industry of internet ride sharing.The technologies that are used for the implementation are firebase database,REST API and Android Studio.The security login authentication to the system is firebase Google authentication This paper shows the implementation of comparison of the price, distance and time by car selection of OLA and UBER .
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    Smart AI recognition android app
    (AIKTC, 2021-05) Sheikh, Javed; Ansari, Abdus Saboor Vaqar Husain (17CO18); Ansari, Mohammed Danish Salim (16CO18); Ammar, Mohammad Ismail (17CO17); Inamdar, Mugaira Juber (17CO26)
    ”Visual Information is the basis for most of the tasks, so visually impaired people are at the disadvantage because necessary information about the surrounding environment is not available.The objective of this project is to guide unsighted people with smart device using an Android Phone.This device is an innovative and cause effective guide system for Visually Impaired People(VIP). This system based on Android technology and designed for trying to solve the impossible situation that afflicts the blind people. This paper presents camera based system which will help blind person for reading text patterns printed on documents. This is the framework to assist visually impaired persons to read text patterns and convert it into the audio output. To obtain the object from the background and extract the text pattern from that object, the system first proposes the method that will capture the image from the camera and object region is detected.The text patterns are localized and binarized using Optical Character Recognition (OCR). The recognized text is converted to an audio output. Therefore, this project deals with analysis of detection and recognition of different text patterns on different documents. To help the blind people the visual world has to be transformed into the audio world with the potential to inform them about objects.The inability to identify people during group meetings is a disadvantage for blind people in many professional and educational situations. To explore the efficiency of face recognition using smartphones in these settings, we have prototyped and tested a face recognition tool for blind users. The tool utilizes Smartphone technology in conjunction with a wireless network to provide audio feedback of the people in front of the blind user. Keywords: Android,Visually Impaired,Blind People,Smart device ,Object detection,Text recoginition ,LBP
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    Stock prediction using machine learning
    (AIKTC, 2021-05) Sheikh, Javed; Deshmukh, Raafil Rizwan (17CO23); Surme, Huzaifa Munaf (17CO53); Shiakh, Tanveer Alam Akhtar Ali (16DCO79)
    We analyse existing and new methods of stock market prediction. We take three different approaches at the problem: Fundamental analysis, Technical Analysis, and the application of Machine Learning. We find evidence in support of the weak form of the Efficient Market Hypothesis, that the historic price does not contain useful information but out of sample data may be predictive. We show that Fundamental Analysis and Machine Learning could be used to guide an investor’s decisions. We demonstrate a common flaw in Technical Analysis methodology and show that it produces limited useful information. In the finance world stock trading is one of the most important activities. Stock market predic-tion is an act of trying to determine the future value of a stock other financial instrument tradedon a financial exchange.The technical and fundamental or the time series analysis is used bythe most of the stockbrokers while making the stock predictions. The programming languageis used to predict the stock market using machine learning is Python. In our project we proposea Machine Learning (ML) approach that will be trained from the available stocks data and gainintelligence and then uses the acquired knowledge for an accurate prediction. In this contextstudy uses a machine learning technique called Support Vector Machine (SVM) or Long ShortTerm-Memory (LSTM) to predict stock prices. Keywords: Mechine Learning, Data Mining, Training set, Training Data, Au-tomated System, pattern Recognition, Deep learning, Knowledgeextraction, Data preprocessing, knowledge extraction, Web mod-ule,Artificial Intelligence.
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    University Classification and Prediction Using Data Mining
    (AIKTC, 2016-05) Sheikh, Javed; Ashiq, Ahamed Abdul Subhan RehamanBee (12CO23); Mohammed Shadir, Fakir Mohammed Fatima (12CO44); Baig, Mannan Rehman Sabira (12CO24); Shaikh, Abdul Alim JamilurRehman Sufiyana (12CO57)
    From the medieval age university quality has been widely known by writings of students, greats names of professors and academic reputation of universities. But since the last quarter of the twentieth century, university ranking systems have widely observed international universities and updated world universities ranking annually. During recent years, university rankings have gained a considerable importance not only among the academia but also amongst students, parents, industry and businesses. Common stakeholders, the students and their parents, may not be aware of the intricacies of ranking processes and elements / criteria of rankings but they are definitely keen to know the position of the University of their Interest in the ranking lists. This paper will review the trend and existing approaches of the most common and popular university ranking systems and evaluations and describe various Quantitative / Qualitative criteria used to determine the rankings. The process involves various surveys besides using statistics and rankings are conducted on national, regional and global levels for institutions,departments, schools or specific academic programs. It is opined that although university rankings are considered inherently controversial for Not being absolutely objective and definitive, they are still used as reference to assist in making certain crucial decisions